add instructions

app.py

@@ -223,7 +223,7 @@ with gr.Blocks() as demo:
     
     gr.Markdown("""
     <div style="text-align: left;"> 
-    <p>Welcome to <a href="https://github.com/facebookresearch/vggsfm" target="_blank">VGGSfM</a> demo! 
+    <p>Welcome to <a href="https://vggsfm.github.io/" target="_blank">VGGSfM</a> demo! 
     This space demonstrates 3D reconstruction from input image frames. </p> 
     <p>To get started quickly, you can click on our examples (page bottom). If you want to reconstruct your own data, simply: </p> 
     <ul style="display: inline-block; text-align: left;"> 
@@ -231,7 +231,7 @@ with gr.Blocks() as demo:
         <li>upload a video (.mp4, .mov, etc.) </li> 
     </ul> 
     <p>If both images and videos are uploaded, the demo will only reconstruct the uploaded images. By default, we extract one image frame per second from the input video. To prevent crashes on the Hugging Face space, we currently limit reconstruction to the first 20 image frames. </p> 
-    <p>For more details, check our <a href="https://github.com/facebookresearch/vggsfm" target="_blank">GitHub Repo</a> ⭐</p> 
+    <p>If you meet any problem, feel free to create an issue in our <a href="https://github.com/facebookresearch/vggsfm" target="_blank">GitHub Repo</a> ⭐</p> 
     <p>(Please note that running reconstruction on Hugging Face space is slower than on a local machine.) </p> 
     </div>
     """)
@@ -240,14 +240,16 @@ with gr.Blocks() as demo:
         with gr.Column(scale=1):
             input_video = gr.Video(label="Input video", interactive=True)
             input_images = gr.File(file_count="multiple", label="Input Images", interactive=True)
-            num_query_images = gr.Slider(minimum=1, maximum=10, step=1, value=5, label="Number of query images")
-            num_query_points = gr.Slider(minimum=512, maximum=4096, step=1, value=1024, label="Number of query points")
+            num_query_images = gr.Slider(minimum=1, maximum=10, step=1, value=5, label="Number of query images",
+                                         info="More query images usually lead to better reconstruction at lower speeds. If the viewpoint differences between your images are minimal, you can set this value to 1. ")
+            num_query_points = gr.Slider(minimum=512, maximum=4096, step=1, value=1024, label="Number of query points",
+                                         info="More query points usually lead to denser reconstruction at lower speeds.")
         
         with gr.Column(scale=3):
             reconstruction_output = gr.Model3D(label="Reconstruction", height=520)
             log_output = gr.Textbox(label="Log")
 
-    submit_btn = gr.Button("Submit")
+    submit_btn = gr.Button("Reconstruct")
 
     examples = [
         [cake_video, cake_images, 3, 4096],
@@ -267,7 +269,9 @@ with gr.Blocks() as demo:
         [reconstruction_output, log_output]
     )
 
-    demo.launch(debug=True, share=True)
+    # demo.launch(debug=True, share=True)
+    demo.queue(max_size=20, concurrency_count=1).launch(show_error=True)
+    # demo.queue(max_size=20, concurrency_count=1).launch(debug=True, share=True)
 ########################################################################################################################
 
 # else: